| 研究課題/領域番号 |
21K01737
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分07080:経営学関連
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| 研究機関 | 立命館アジア太平洋大学 |
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研究代表者 |
バイセ・ゼー マリアン 立命館アジア太平洋大学, 国際経営学部, 教授 (50648615)
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| 研究期間 (年度) |
2021-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
3,120千円 (直接経費: 2,400千円、間接経費: 720千円)
2023年度: 520千円 (直接経費: 400千円、間接経費: 120千円)
2022年度: 1,950千円 (直接経費: 1,500千円、間接経費: 450千円)
2021年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
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| キーワード | Discrete Choice Model / Experiment / International Takeover / Foreign Corporate Owner / Rebranding / Outsourcing / Takeover / Foreign ownership / Country of origin effect / Foreign outsourcing / Merger & Acquisition / Country of Origin Effect / Foreign Ownership / Country of Origin effect |
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| 研究開始時の研究の概要 |
The study quantifies how public attitudes towards familiar Japanese companies change after being sold to a Chinese company, relocating manufacturing, and adopting a new brand name. The data collection approach for the statistical assessment of public attitudes is a survey that collects data via a set of discrete choice questions, known as a Discrete Choice Analysis. A mixed multinominal logit regression serves to estimate the attitude for each attribute as well as interaction effects and the willingness-to-pay for each attribute.
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| 研究実績の概要 |
In AY2023 the research project was seriously delayed. There was little progress. because the data collection which was planned for this year could not go ahead. The partner organization for the data collection could not be engaged for the project. This is now being planned for AY2024. A new partner for data collection was found and contacted and preparations for the data collection in AY2024 have been made.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
4: 遅れている
理由
The data collection was not conducted because the partner organization that was planned to collect the data could not be engaged. The partner could not fulfill the requirements for the discrete choice model. A new partner has been found and preparations are being made to collect the data in AY2024.
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| 今後の研究の推進方策 |
The data collection and data analysis will be conducted in August and September of 2024. The data analysis will commence immediately after the collection is completed and finalized in December. The research paper will be written in The Jan-March period and a draft will be submitted to the Journal of International Business Studies in March.
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